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Variation-Aware Analog Structural Synthesis describes computational intelligence-based tools for robust design of analog circuits. It starts with global variation-aware sizing and knowledge extraction, and progressively extends to variation-aware topology design. The computational intelligence techniques developed in this book generalize beyond analog CAD, to domains such as robotics, financial engineering, automotive design, and more. The tools are for: Globally-reliable variation-aware automated sizing via SANGRIA, leveraging structural homotopy and response surface modeling. Template-free symbolic models via CAFFEINE canonical form functions, for greater insight into the relationship between design/process variables and circuit performance/robustness. Topology selection and topology synthesis via MOJITO. 30 well-known analog building blocks are hierarchically combined, leading to >100,000 different possible topologies which are all trustworthy by construction. MOJITO does multi-objective genetic programming-based search across these topologies with SPICE accuracy, to return a set of sized topologies on the optimal performance/yield tradeoff curve. Nonlinear sensitivity analysis, topology decision trees, and analytical tradeoffs. With a data-mining perspective on Pareto-optimal topologies, this book shows how to do global nonlinear sensitivity analysis on topology and sizing variables, automatically extract a specs-to-topology decision tree, and determine analytical expressions of performance tradeoffs. Novel topology design. The MOJITO-N and ISCLEs tools generate novel yet trustworthy topologies; including boosting digitally-sized circuits for analog functionality.

Analog-to-digital converters --Computer-aided design. --- Electronic circuit design --Computer-aided design. --- Linear integrated circuits --Computer-aided design. --- Linear integrated circuits --- Analog-to-digital converters --- Electronic circuit design --- Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Computer-aided design --- Computer-aided design. --- Linear ICs --- Electronic circuits --- Analog-digital converters --- Design --- Engineering. --- Computers. --- Electronic circuits. --- Circuits and Systems. --- Theory of Computation. --- Computing Methodologies. --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Construction --- Industrial arts --- Technology --- Analog electronic systems --- Computer input-output equipment --- Digital electronics --- Electronic data processing --- Analog integrated circuits --- Systems engineering. --- Information theory. --- Artificial intelligence. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Communication theory --- Communication --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Design and construction

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Genetic programming has emerged as an important computational methodology for solving complex problems in a diversity of disciplines. In an effort to foster collaborations and facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming, the annual Genetic Programming Theory and Practice Workshop was organized by the University of Michigan’s Center for the Study of Complex Systems to provide a forum for both those who develop computational theory and those that practice the art of computation. Genetic Programming Theory and Practice VII presents the results of this workshop, contributed by the foremost international researchers and practitioners in the GP arena. Contributions examine the similarities and differences between theoretical and empirical results on real-world problems, and explore the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Application areas include chemical process control, circuit design, financial data mining and bio-informatics, to name a few. About this book: Discusses the hurdles encountered when solving large-scale, cutting-edge applications Provides in-depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems Contributed by GP theorists from major universities and active practitioners from industry examining how GP theory informs practice and how GP practice impacts GP theory Genetic Programming Theory and Practice VII is suitable for researchers, practitioners and students of Genetic Programming, including industry technical staffs, technical consultants and business entrepreneurs.

Genes. --- Genetic programming (Computer science). --- Genetics. --- Genetic programming (Computer science) --- Computer Science --- Engineering & Applied Sciences --- Computer science. --- Informatics --- Computer programming. --- Computers. --- Algorithms. --- Artificial intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Programming Techniques. --- Computing Methodologies. --- Theory of Computation. --- Algorithm Analysis and Problem Complexity. --- Science --- Computer programming --- Genetic algorithms --- Information theory. --- Computer software. --- Artificial Intelligence. --- Software, Computer --- Computer systems --- Communication theory --- Communication --- Cybernetics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Calculators --- Cyberspace --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Foundations --- Programming

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Electrical engineering --- Programming --- Information systems --- systeemontwikkeling (informatica) --- methodologieën --- elektrische circuits

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This book targets custom IC designers who are encountering variation issues in their designs, especially for modern process nodes at 45nm and below, such as statistical process variations, environmental variations, and layout effects.  The authors have created a field guide to show how to handle variation proactively, and to understand the benefits of doing so. Readers facing variation challenges in their memory, standard cell, analog/RF, and custom digital designs will find easy-to-read, pragmatic solutions.   Reviews the most important concepts in variation-aware design, including types of variables and variation, useful variation-aware design terminology, and an overview and comparison of high-level design flows. Describes and compares a suite of approaches and flows for PVT corner-driven design and verification. Presents Fast PVT, a novel, confidence-driven global optimization technique for PVT corner extraction and verification that is both rapid and reliable. Presents a visually-oriented overview of probability density functions, Monte Carlo sampling, and yield estimation. Describes a suite of methods used for 2-3 sigma statistical design and presents a novel sigma-driven corners flow, which is a fast, accurate, and scalable method suitable for 2-3 sigma design and verification. Describes and compares high-sigma design and verification techniques and presents a novel technique for high-sigma statistical corner extraction and verification, demonstrating its fast, accurate, scalable, and verifiable qualities across a variety of applications. Compares manual design and automated sizing and introduces an integrated approach to aid the sizing step in PVT, 3σ statistical and high-sigma statistical design.

Chemical structure --- Electronics --- Electrical engineering --- Applied physical engineering --- Biotechnology --- nanotechniek --- biotechnologie --- elektronica --- ingenieurswetenschappen --- elektrische circuits

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The contributions in this volume are written by the foremost international researchers and practitioners in the GP arena. They examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Topics include: FINCH: A System for Evolving Java, Practical Autoconstructive Evolution, The Rubik Cube and GP Temporal Sequence Learning, Ensemble classifiers: AdaBoost and Orthogonal Evolution of Teams, Self-modifying Cartesian GP, Abstract Expression Grammar Symbolic Regression, Age-Fitness Pareto Optimization, Scalable Symbolic Regression by Continuous Evolution, Symbolic Density Models, GP Transforms in Linear Regression Situations, Protein Interactions in a Computational Evolution System, Composition of Music and Financial Strategies via GP, and Evolutionary Art Using Summed Multi-Objective Ranks. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results in GP .

Genetic programming (Computer science). --- Genetic programming (Computer science) --- Artificial intelligence --- Engineering & Applied Sciences --- Computer Science --- Computer science. --- Computer programming. --- Computers. --- Algorithms. --- Artificial intelligence. --- Computer Science. --- Computing Methodologies. --- Artificial Intelligence (incl. Robotics). --- Theory of Computation. --- Algorithm Analysis and Problem Complexity. --- Programming Techniques. --- Computer programming --- Genetic algorithms --- Information theory. --- Computer software. --- Artificial Intelligence. --- Informatics --- Science --- Software, Computer --- Computer systems --- Communication theory --- Communication --- Cybernetics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Calculators --- Cyberspace --- Programming --- Foundations